Abubakar Tatari Ali Polytechnic

Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Research Assistant to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Research Assistant will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key Responsibilities Research Support the supervisor in developing and implementing the research agenda; Conduct high-quality and innovative research primarily focused on ML for healthcare; Design and implement experiments to compare proposed work with SOTA baselines; Publish research findings in high-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; And collaborate with scientists within the NYU Global Network and in Abu Dhabi. Minimum Qualifications Currently has or is in the process of completing a bachelor’s or master’s degree from a recognized institution Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field Demonstrable research experience involving data pre-processing and preparation for machine learning models Demonstrable research experience in conducting experiments for training and evaluating deep neural networks Knowledge of multi-modal learning, transfer learning, transformers, or self-supervised learning Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the work done Excellent communication skills (oral and written communication) Willingness to learn and confront new challenges Preferred Qualifications Bachelor’s/ Master’s thesis conducted in the area of machine learning for healthcare and related topics First-author peer-reviewed published papers (or under review) Evidence of leadership and service activities in the academic domain For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), and three letters of reference, and a transcript, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply.

Description The Micro- and Nanoscale Bioengineering Lab (MNBL) at New York University Abu Dhabi is seeking to recruit a research associate for biosensing of cardiovascular diseases. Applicants with a strong background in biosensor design and fabrication, as well as in clinical diagnostics, are encouraged to apply. Research in the MNBL focuses on the design and fabrication of biosensors for the early detection of cardiovascular diseases. Responsibilities of the position include the development of 2D materials-based biosensors for the detection of miRNAs. The candidate will work in a multidisciplinary environment comprising PhD-level scientists, graduate students, and undergraduate students, thereby acquiring valuable skills in writing manuscripts and establishing collaborations across disciplines. Applicants must hold a PhD degree in the science/engineering field. They must also have excellent biosensing expertise; multi-year experience in clinical diagnostics is a plus. Applicants must submit a cover letter, a curriculum vitae with a full publication list, transcript, a statement of research interests, and two letters of reference, all in PDF format. If you have any questions, please email Prof. Rafael Song at rafael.song@nyu.edu/. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately, and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least two letters of recommendation, all in PDF format. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. If you have any questions, please email: mrasras@nyu.edu. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. UAE Nationals are encouraged to apply.

Ref.: 533567 Work type: Full-time Department: Department of Electrical and Electronic Engineering (14300) Categories: Professoriate Staff Tenure-Track Associate Professor/Assistant Professor in the Department of Electrical and Electronic Engineering (EEE) (Ref.: 533567) The University of Hong Kong has a highly ranked engineering school and active electrical and electronic engineering programmes. The EEE Department offers B.Eng., M.Sc., M.Phil. and Ph.D. programmes. Information about the Department can be obtained at http://www.eee.hku.hk  The Position We now invite application for appointment as Tenure-Track Associate Professor/Assistant Professor in the Department of Electrical and Electronic Engineering (EEE) Duties and Responsibilities We welcome applications from candidates with expertise in one or more of the following areas (but not limited to): Analog, mixed-signal, and RF integrated circuits Low power digital circuit and high-speed circuit design Emerging circuit technologies, including 3D ICs, heterogeneous integration and advanced circuit packaging Circuits design for artificial intelligence, power management IC, and quantum applications Interdisciplinary scholars with a vision for connecting IC design with device technology, system architecture, or AI hardware are particularly encouraged to apply. The appointees will be expected to teach undergraduate and postgraduate courses related to integrated circuit and system design, analog/mixed-signal and digital ICs, semiconductor device fundamentals, electronic design automation, and emerging hardware systems, among others. They will also supervise research postgraduate students, contribute actively to research and knowledge exchange, undertake school practicum supervision, and assume service/administrative responsibilities as appropriate. Those appointed at Associate Professor level will also be expected to lead collaborative and interdisciplinary initiatives in research and knowledge exchange, mentor and nurture the next generation of scholars and researchers, and assume high-level service/administrative responsibilities. Requirements Applicants should possess a Ph.D. degree in Electrical and Electronic Engineering or a closely related field, with a strong commitment to research and teaching, a solid track record in or strong potential for research, scholarly publications, and competitive external funding. What We Offer The appointment will be made on fixed-term full-time contract for 3 years initially, to commence as soon as possible thereafter, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract, subject to satisfactory performance. Exceptionally outstanding candidates at Associate Professor level may be considered for appointment on tenure terms, subject to the University’s approval. A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary. Other benefits include annual leave and professional leave, medical benefits, and free access to on-campus gyms and libraries. Housing benefits will be provided as applicable. The successful candidate may also be invited to join the Centre for Advanced Semiconductors and Integrated Circuits, a newly established interdisciplinary research center at HKU that advances Hong Kong’s strategic development in microelectronics and semiconductor technologies. How to Apply The University only accepts online applications for these positions. Applicants should apply online at the University’s careers site (https://jobs.hku.hk) and upload the following documents: (i) a cover letter, (ii) an up-to-date C.V. (including a full list of publications), (iii) a teaching statement (maximum 2 pages), (iv) a research statement (maximum 2 pages) outlining current and future research plans, and (v) the contact information of at least three referees. Review of applications will start as soon as possible and continue until June 30, 2026 or until the post is filled, whichever is earlier. Only shortlisted candidates will be invited for an interview. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency